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We study how estimators that are used to impute consumption in survey data are inconsistent due to measurement error in consumption. Previous research suggests instrumenting consumption to overcome this problem. We show that, if additional regressors are present, then instrumenting consumption may still produce inconsistent estimators due to the likely correlation between additional regressors and measurement error. On the other hand, low correlations between additional regressors and instruments may reduce bias due to measurement error. We apply our findings by revisiting recent research that imputes consumption data from the CEX to the PSID.  相似文献   
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The current Korean rice‐grading system has a “no test” option that allows rice to not be graded in the market. This study examines Korean consumers’ valuation of a rice‐grading system without the “no test” option. We apply a nonhypothetical experimental auction to elicit consumers’ willingness to pay for each rice grade and identify the impact of the provision of additional grading information on product valuation. We then use contingent and inferred valuations to obtain consumers’ valuation of a mandatory rice‐grading system without the “no test” option. We find that Korean consumers are willing to pay an additional premium for each rice grade and that rice‐grading information is the most important factor that differentiates the rice products. Rice consumers in Korea also strongly prefer a mandatory rice‐grading system without the “no test” option.  相似文献   
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Open Economies Review - This paper investigates the relationship between economic growth and job creation in developing economies with a focus on low and lower middle-income countries along two...  相似文献   
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We analyze the contribution of credit spread, house and stock price shocks to the US economy based on a time‐varying parameter vector autoregressive model. We find that the contribution of financial shocks to gross domestic product growth fluctuates from about 20% in normal times to more than 50% during the Great Recession. The Great Recession and the subsequent weak recovery can largely be traced back to negative housing shocks. Housing shocks have become more important for the real economy since the early 2000s, and negative housing shocks are more important than positive ones. Unexpected increases in credit spreads have not been deflationary recently. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   
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This article analyses the multivariate stochastic volatilities (SVs) with a common factor influencing volatilities in the prices of crude oil and agricultural commodities, used for both biofuel and nonbiofuel purposes. Modelling the volatility is crucial because the volatility is an important variable for asset allocation, risk management and derivative pricing. We develop a SV model comprising a latent common volatility factor with two asymptotic regimes with a smooth transition between them. In contrast to conventional volatility models, SVs are generated by the logistic transformation of latent factors, which comprise two components: the common volatility factor and an idiosyncratic component. We present a SV model with a common factor for oil, corn and wheat from 8 August 2005 to 10 October 2014, using a Markov chain Monte Carlo method to estimate the SVs and extract the common volatility factor. We find that the volatilities of oil and grain markets are persistent. According to the estimated common volatility factor, high volatility periods match the 2007–2009 recession and the 2007–2008 financial crisis quite well. Finally, the extracted common volatility factor exhibits a distinct pattern.  相似文献   
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We introduce a macro-finance model in which monetary authorities adjust the money supply by targeting not only output and inflation but also the slope of the yield curve. We study the impact of McCallum-type rules on capital growth, the volatility of interest rates, the spread between long- and short-term rates, and the persistence of monetary shocks. Our model supports the Federal Reserve's choice to incorporate financial data in their policy decisions and expand the monetary base to decrease the nominal interest rate spread at the cost of lower expected long-term growth.  相似文献   
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This article aims to present the main indicators for Science, Technology, and Innovation (ST&l) generated by the Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG) in four years (2008-2011). The methodology used was a case study, with documentary research, held in the annual reports of activities of the foundation. The results showed that all indicators analyzed in aggregate form, evolved gradually. It is concluded that the FAPEMIG comes complying with their mission to induce and encourage research and scientific and technological innovation for the development of the State of Minas Gerais in the southeast region, maintaining the recognition as one of the main agents of development inductors ST&I in Brazil.  相似文献   
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